Bilingual CV Screening
Parse and rank Arabic and English CVs against each role with explainable match scores.
A major corporation in Riyadh announces a graduate training program and receives 15,000 CVs in 48 hours. The AI system reads both Arabic and English profiles, extracts skills, degrees, and Saudi national identity status, and ranks the candidates against 5 custom job profiles in under 3 minutes, highlighting the top 200 matches.
How it works
- Bilingual Parser Pipeline: A custom LLM parsing pipeline reads both Arabic and English PDFs, extracting education history, roles, skills, and languages.
- Semantic Role Matcher: Matches candidates against specific job descriptions semantically, evaluating equivalent terminology across languages.
- Localized Qualification Filters: Filters candidates by university tiers, Saudization status, and key regulatory certifications (e.g. SOCPA, CME).